@@ -285,34 +285,6 @@ would be helpful for debugging.
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** Reviewers** : Chris Rackauckas
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- ## Refactor NonlinearSolve.jl to use Sub-Packages of Solvers (\$ 300)
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-
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- With the successful splitting of [ OrdinaryDiffEq.jl] ( https://sciml.ai/news/2024/08/10/sciml_small_grants_successes/ ) ,
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- we suspect that similar installation and loading time improvements can be had by
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- splitting NonlinearSolve.jl and BoundaryValueDiffEq.jl in such a way that the solvers
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- can precompile in parallel and allow for depending on only a portion of the algorithms.
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- In particular, OrdinaryDiffEq.jl only needs to depend on a trust region method, meaning
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- that other sets of methods can be fully discarded from its dependency stack.
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-
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- ** Information to Get Started** : The OrdinaryDiffEq.jl solvers are all found in
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- [ the Github repository] ( https://github.com/SciML/OrdinaryDiffEq.jl ) and
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- the format of the package is docmented in the
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- [ developer documentation] ( https://docs.sciml.ai/DiffEqDevDocs/stable/ ) . [ https://github.com/SciML/OrdinaryDiffEq.jl/issues/2177 ] ( https://github.com/SciML/OrdinaryDiffEq.jl/issues/2177 )
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- documents the process on OrdinaryDiffEq.jl to
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-
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- ** Related Issues** :
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-
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- ** Success Criteria** : The independent solver packages are registered and released,
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- and a breaking update to OrdinaryDiffEq.jl is released which reduces the loading
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- time by not including all solvers by default. This success also requires updating
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- package documentation to reflect these changes.
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-
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- ** Recommended Skills** : Since all of the code for the solvers exists and this a refactor,
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- no prior knowledge of numerical differential equations is required. Only standard software
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- development skills and test-driven development of a large code base is required.
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-
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- ** Reviewers** : Chris Rackauckas, Avik Pal
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## Refactor OrdinaryDiffEq.jl Solver Sets to Reuse perform_step! Implementations via Tableaus (\$ 100/solver set)
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** In Progress** : Claimed by Param Umesh Thakkar for the time period of August 11th, 2024 - September 11th 2024.
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